Prediction of Junior High School Students' Problematic Internet Use: The Comparison of Neural Network Models and Linear Mixed Models in Longitudinal Study.

Purpose: With the rise of big data, deep learning neural networks have garnered attention from psychology researchers due to their ability to process vast amounts of data and achieve superior model fitting. We aim to explore the predictive accuracy of neural network models and linear mixed models in tracking data when subjective variables are predominant in the field of psychology. We separately analyzed the predictive accuracy of both models and conduct a comparative study to further investigate.

Problematic Internet Use in Early Adolescents: Gender and Loneliness Differences in a Latent Growth Model.

Purpose: Based on the Cognitive-Behavioral model and the Interaction of Person-Affect-Cognition-Execution model, this study examined the developmental trajectory of problematic Internet use (PIU) in early adolescents and explored whether there were gender differences in the onset level and rate of development of this developmental trajectory, and tested whether developmental changes in loneliness could have an impact on the developmental trajectory of problematic Internet use.

Participants And Methods: This longitudinal study collected data on PIU and loneliness from 296 early adolescents (age=11.65, =0.

The Relationship between Exercise Behavior and Mental Health during the COVID-19 Epidemic: Research Based on the Weibo Exercise Behavior User Dictionary.

In the context of COVID-19, people face conditions of great stress and are susceptible to negative emotions such as worry, fear, and doubt. Therefore, the focus of epidemic prevention should be on mental health as well as physical health. It is important to pay attention to people's mental health while mitigating and controlling the epidemic.

A Preliminary Validation of the Chinese Version of the Information Technology Identity Scale.

Background: Information technology has become an irreplaceable part of people's lives, and the interaction between information technology and self-identity has produced a new type of information technology (IT) identity. However, there is no measurement tool for this concept in China. The main aim of the study was to revise Carter's IT Identity Scale in the context of Chinese cultural background and to determine whether the Chinese version is congruent with the English version.

Activated microporous-mesoporous carbon derived from chestnut shell as a sustainable anode material for high performance microbial fuel cells.

Microbial fuel cells (MFCs) are promising biotechnologies tool to harvest electricity by decomposing organic matter in waste water, and the anode material is a critical factor in determining the performance of MFCs. In this study, chestnut shell is proposed as a novel anode material with mesoporous and microporous structure prepared via a simple carbonization procedure followed by an activation process. The chemical activation process successfully modified the macroporous structure, created more mesoporous and microporous structure and decreased the O-content and pyridinic/pyrrolic N groups on the biomass anode, which were beneficial for improving charge transfer efficiency between the anode surface and microbial biofilm.

Electrocatalytic activity of lithium polysulfides adsorbed into porous TiO coated MWCNTs hybrid structure for lithium-sulfur batteries.

Lithium-sulfur batteries have attracted great attention because of their high energy density, environmental friendliness, natural abundance and intrinsically low cost of sulfur. However, their commercial applications are greatly hindered by rapid capacity decay due to poor conductivity of electrode, fast dissolution of the intermediate polysulfides into the electrolyte, and the volume expansion of sulfur. Herein, we report a novel composite MWCNTs@TiO-S nanostructure by grafting TiO onto the surface of MWCNTs, followed by incorporating sulfur into the composite.